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단행본

(The) road to results: designing and conducting effective development evaluations

발행사항
Washington, DC : Earthscan, 2009
형태사항
xxii, 582 p.: ill.; 25 cm
ISBN
9780821378915
청구기호
322.8 M872r
서지주기
Includes bibliographical references and index
소장정보
위치등록번호청구기호 / 출력상태반납예정일
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책 소개
This comprehensive text is an essential tool for those involved in development evaluation. It presents concepts and procedures for evaluation in a development context. It provides procedures and examples on how to set up a monitoring and evaluation system, how to conduct participatory evaluations and do social mapping, and how to construct a 'rigorous' quasi-experimental design to answer an impact question. The book begins with a description of the context of development evaluation and how it arrived where it is today. It then discusses current issues driving development evaluation, such as the Millennium Development Goals and the move from simple project evaluations to the broader understandings of complex evaluations. The topics of implementing 'Results-based Measurement and Evaluation' and constructing a 'Theory of Change' are emphasized throughout the text. Next, the authors take the reader down 'the road to results', presenting procedures for evaluating projects, programs, and policies by using a 'Design Matrix' to help map the process. This road includes: determining the overall approach; formulating questions; selecting designs; developing data collection instruments; choosing a sampling strategy; and, planning data analysis for qualitative, quantitative, and mixed method evaluations. The book also includes discussions on conducting complex evaluations, how to manage evaluations, how to present results, and ethical behavior - including principles, standards, and guidelines. The final chapter discusses the future of development evaluation.

Suitable for those involved in development evaluation, this title provides procedures and examples on how to set up a monitoring and evaluation system, how to conduct participatory evaluations and do social mapping, and how to construct a 'rigorous' quasi-experimental design to answer an impact question.